Workflow Configuration & Deployment

Build AI workflows.
Not integrations.

AiApiConfig lets you define, deploy, and manage AI and API workflows through configuration — so your team ships faster without rebuilding the same integration logic from scratch every time.

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Config‑first
Define workflows in YAML — not scattered glue code
Deploy‑native
Config to live endpoint without managing infrastructure
AI & API
Unified workflows across AI models and external APIs

// What we built

Stop rebuilding workflows. Start configuring them.

01 / WORKFLOW CONFIG

Define it once. Own it forever.

Write your AI and API workflow logic in clean, versioned YAML — prompts, chaining, conditions, error handling, and environment variables all in one file. No more integration code scattered across your codebase.

02 / INSTANT DEPLOYMENT

Config to production in minutes.

Turn a workflow config into a live, callable API endpoint without standing up a single server. Push a change to your config and it ships — no custom deploy pipelines, no infrastructure to manage.

03 / WORKFLOW PATTERNS

Built for how AI products work.

Multi-step pipelines, conditional branching, external API calls, retry logic, and dependency chaining — the patterns every AI product needs, handled natively through configuration rather than custom code.

// How it works

From config file to live workflow endpoint.

Get early access.

Be among the first to ship AI and API workflows at config speed.

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